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Books in Social sciences and humanities

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Clinical Reasoning and Decision Making Process

  • 1st Edition
  • October 1, 2024
  • Jac Andrews + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 5 5 2 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 5 5 3 - 8
Clinical Reasoning and Decision Making Process: Child and Adolescent Assessment and Intervention explains the clinical decision-making process, both to improve clinical decision-making and to allow clinicians to better explain and defend those decisions. Chapters describe broad classes of disorders and include a description of disorder characteristics, a clinical reasoning model for assessment and intervention, and a case study illustrating the clinical reasoning model in action. Case studies cover initial intake to intervention, including case conceptualization. Clinical insight is also presented regarding justification (reasons) for the decisions about assessment and treatment.In addition, information is provided about the theoretical, empirical, and clinical support for the diagnostic decision and intervention plan. Each chapter ends with a summary of the most salient assessment and intervention findings and their associated clinical judgments and insights.

Fundamentals of Uncertainty Quantification for Engineers

  • 1st Edition
  • October 1, 2024
  • Yan Wang + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 6 6 1 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 6 6 2 - 7
Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples, implementation details, and practical exercises to reinforce the concepts outlined in the book. Sections start with a review of the history of probability theory and recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of probability axioms, conditional probability, and Bayes’ rule are discussed and examples of probability distributions in parametric data analysis, reliability, risk analysis, and materials informatics are included.Random processes, sampling methods, and surrogate modeling techniques including multivariate polynomial regression, Gaussian process regression, multi-fidelity surrogate, support-vector machine, and decision tress are also covered. Methods for model selection, calibration, and validation are introduced next, followed by chapters on sensitivity analysis, stochastic expansion methods, Markov models, and non-probabilistic methods. The book concludes with a chapter describing the methods that can be used to predict UQ in systems, such as Monte Carlo, stochastic expansion, upscaling, Langevin dynamics, and inverse problems, with example applications in multiscale modeling, simulations, and materials design.

Biochar as a Multipurpose Platform

  • 1st Edition
  • October 1, 2024
  • Alberto Tagliaferro + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 9 9 1 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 9 9 2 - 5
Biochar as a Multipurpose Platform: With Applications in Energy, Environment, and Materials discusses all the most cutting-edge biochar applications, including environmental remediation, energy storage, composites, and catalyst production, thus providing an expert overview of recent trends in biochar research. Biochar is a solid residue that is recovered after the thermal decomposition of biomasses inert atmosphere. Biochar has been used for many decades for soil applications. Nonetheless, biochar is far more than a mere soil amendment.

Algal Bioreactors

  • 1st Edition
  • October 1, 2024
  • Eduardo Jacob-Lopes + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 5 8 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 5 6 - 3
Algal Bioreactors: Science, Engineering and Technology of Upstream Processes, Volume One, is part of a comprehensive two-volume set that provides all of the knowledge needed to design, develop, and operate algal bioreactors for the production of renewable resources. Supported by critical parameters and properties, mathematical models and calculations, methods, and practical real-world case studies, readers will find everything they need to know on the upstream and downstream processes of algal bioreactors for renewable resource production.Bringing together renowned experts in microalgal biotechnology, this book will help researchers, scientists, and engineers from academia and industry overcome barriers and advance the production of renewable resources and renewable energy from algae. Students will also find invaluable explanations of the fundamentals and key principles of algal bioreactors, making it an accessible read for students of engineering, microbiology, biochemistry, biotechnology, and environmental sciences.

Algal Bioreactors

  • 1st Edition
  • October 1, 2024
  • Eduardo Jacob-Lopes + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 0 5 9 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 0 5 7 - 0
Algal Bioreactors: Science, Engineering and Technology of Downstream Processes, Volume Two, is part of a comprehensive two-volume set that provides the knowledge needed to design, develop, and operate algal bioreactors for the production of renewable resources. Supported by critical parameters and properties, mathematical models and calculations, methods, and practical real-world case studies, readers will find everything they need to know on the upstream and downstream processes of algal bioreactors for renewable resource production.Bringing together renowned experts in microalgal biotechnology, this book will help researchers, scientists, and engineers from academia and industry overcome barriers and advance the production of renewable resources and renewable energy from algae. Students will also find invaluable explanations of the fundamentals and key principles of algal bioreactors, making it an accessible read for students of engineering, microbiology, biochemistry, biotechnology, and environmental sciences.

Renewable Energy Finance

  • 2nd Edition
  • October 1, 2024
  • Santosh Raikar + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 5 9 5 5 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 9 5 4 - 1
Renewable Energy Finance: Theory and Practice, Second Edition integrates the special characteristics of renewable energy with key elements of project finance. Through a mixture of fundamental analysis and real-life examples, readers learn how renewable energy project finance deals mix finance, public policy, legal, engineering and environmental issues. This book investigates the economics of large-scale green power production and incentive mechanisms and how they fit into the global energy industries. It also examines how distributed energy resources such as residential solar and batteries can be financed at the scale needed to play a significant role in the future energy mix.The authors examine how renewable energy projects get financed and built using modern non-recourse project finance structures. It also highlights recent innovations such as Green Bonds and Sustainability Linked Loans that have emerged in the context of ESG investments. The scope of the book is global, and it illustrates how renewable energy project finance has evolved in various places (such as the tax-equity structures used in the United States, due to the corporate tax incentives used there) to cope with local regulatory and policy environments.

The Danube River and The Western Black Sea Coast

  • 1st Edition
  • October 1, 2024
  • Jürg Bloesch + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 8 6 8 6 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 8 6 8 7 - 5
The Danube River is a brand-new volume in the Elsevier Ecohydrology from Catchment to Coast series. The book focuses on the second largest river in Europe and the most transboundary river basin that encompasses 19 countries. Chapters focus on changes to the area in the past decade and a way forward. Made up of three parts, the book starts with an overview, covers The Danube River and its recipient, the Black Sea, including sediment balance, water quality, hydromorphology and aquatic biodiversity.Section two covers the key pressures and implementation of transboundary water management such as aquatic resources, invasive species, climate change, and stakeholder participation. Section three assess visions for a sustainable future in the Danube River Basin with a look to applicable sustainability, ecosystems, human interaction, and improving biodiversity through floodplains. The book concludes with a summary and outlook.

Multi-Criteria Decision-Making Analysis for Civil Engineering Applications

  • 1st Edition
  • October 1, 2024
  • Hossein Bonakdari + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 2 2 8 2 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 2 8 3 - 2
Multi-Criteria Decision-Making Analysis for Civil Engineering Applications helps civil engineers by outlining state-of-the-art tactics for quantitative decision-making to optimally select the appropriate approach when faced with operational issues, or to prioritize projects among multiple options. Authored by recognized experts in the field, the volume proves to be a balanced reference book that’s essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines.Decision-making is a key factor to achieve success in any discipline, especially in a field which requires handling large amounts of information and is based on calculations as civil engineering. Most processes and procedures are a compendium of many different tasks and requirements of each project under development, also involving a great variety of specific factors and numerical values to be considered. Making decisions in such environments can often be an arduous endeavor, and that is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly.

Computational Intelligence in Sustainable Computing and Optimization

  • 1st Edition
  • October 1, 2024
  • Balamurugan Balusamy + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 2 5 - 6
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources. Computational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, Cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. Data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modelling, data analysis and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. The field of optimization is well-known and has a diverse range of applications, including route finding problems, medical treatment, construction, finance, accounting, engineering, and maintenance schedules. Optimizing real-world problems requires understanding their nature, grouping them properly, and employing appropriate techniques that can resolve them efficiently. Nature-inspired computational algorithms have been shown to provide robust solutions for emerging and substantiated problems by utilizing heuristic algorithms. Heuristic techniques aim to find the optimal solution to the query in a timely manner. There are several categories of computational intelligence based on nature, including artificial immune systems, evolutionary algorithms, swarm intelligence, artificial neural networks, and geoscience-based algorithms, and these are applied by the authors of the book to solve various problems in sustainable computing.

Fuzzy Methods for Assessment and Decision Making

  • 1st Edition
  • October 1, 2024
  • Michael Gr. Voskoglou
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 7 3 3 - 1
Assessment is a very important component of human activities because it helps in determining possible mistakes and in improving performance by preventing the repeat of such mistakes in future. Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author’s research work on the subject for more than 20 years. In particular, a hybrid assessment model is developed using the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets and soft sets as tools. The book starts with the basic mathematical background which is needed for the understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index. The necessary information follows regarding the learning and problem-solving processes, and the book then presents the hybrid assessment model. Dr. Voskoglou presents innovative fuzzy assessment methods, enabling the reader to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group’s skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal. The fuzzy assessment methods presented in this book solve these problems. Further, the use of neutrosophic sets enables readers to obtain safer results when there are doubts about the accuracy of the grades assigned to students, while the use of soft sets enables a parametric assessment of the group's overall performance. Furthermore, the book presents a variety of applications of Fuzzy assessment as well as the principles and application of fuzzy decision making, which is fundamental for a wide variety of AI, machine learning, computational intelligence, and knowledge engineering applications.